Process Control
Keeping fugitive emissions costs down with low-E valves
Fugitive emissions have become an increasingly critical area of interest for chemical processing and refining facilities.
If you want AI to overcome limitations, give it more scalability
Artificial intelligence (AI) has caused a significant buzz not only within the hydrocarbon processing industry but also in everyday activities.
Execution features of modularization projects
Due to growing global environmental awareness in recent decades, the petrochemical industries have been seeking more cost-effective construction solutions.
Key instrumentation technologies to tackle the toughest measurement challenges
Just as some people seek out extreme sports, process manufacturing has its extreme applications, and engineers who design for these environments must find ways to safely contain and monitor all manner of dangerous reactions and products.
Digital: Safety, simplicity and productivity provide the value needed in plant operations
In today’s manufacturing environment, process automation professionals must choose from a multitude of widgets and innovations to help their plants run more smoothly.
Taking on petrochemical plant hurdles with networking smarts
The petrochemical industry is facing one of the most significant challenges in its history.
Risk mitigation procedure following criticality assessment and FMEA
In asset performance management (APM), criticality assessment and failure mode and effects analysis (FMEA) are powerful tools that enable the identification of opportunities to minimize asset lifecycle costs during the development of equipment strategies.
Process control reimagined
Imagine visiting the control room of a typical process unit at a refinery.
Understanding HCN in FCC: Formation, effects and mitigating options
In these challenging times, fluidized catalytic cracking units (FCCUs) aim to improve margins by processing poorer- or different-quality feeds, while maintaining good yield performance.
Implementation of averaging level control using native DCS functions
When applying averaging level control in a process plant, engineers can typically choose between proportional integral derivative (PID)-based control, such as p-only, gap and non-linear, or a model-based control like optimal averaging level control.
- Topsoe to support green ammonia flagship project in Saudi Arabia 1/27
- Asahi Kasei, Mitsui Chemicals and Mitsubishi Chemical establish entity for ethylene plant decarbonization 1/27
- Neste supports catalysis research at three universities in Finland 1/27
- Haffner Energy launches the C-iC modular units line to unlock financing for mid-sized biofuel projects 1/27
- Repsol to install second 100-MW electrolyzer at its Petronor refinery 1/27
- Toshiba and Airbus drive the future of hydrogen-powered flight with superconducting motors 1/27
